Conference ProceedingsOPEN ACCESS

Online collaboration: Individual involvement used to predict team performance

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014) 8524 LNCS(PART 2) 408-416
DOI: 10.1007/978-3-319-07485-6_40
2Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Social media - with its collaborative and interactive functionalities - is an ideal platform for collaboration. Several teams were asked to create material using a content management system. Log records were analyzed to measure group and individual participation. Direct and indirect measures of involvement are used as predictor variables. A model is proposed that uses system-tracked data to forecast team performance. © 2014 Springer International Publishing.

Author supplied keywords

Cite

CITATION STYLE

APA

Goode, W., & Caicedo, G. (2014). Online collaboration: Individual involvement used to predict team performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8524 LNCS, pp. 408–416). Springer Verlag. https://doi.org/10.1007/978-3-319-07485-6_40

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free